density estimation

Resampling Base Distributions of Normalizing Flows AISTATS 2022 Sampling from Arbitrary Functions via PSD Models AISTATS 2022 Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation ICML 2022 Supported Policy Optimization for Offline Reinforcement Learning NeurIPS 2022 Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022 Unsupervised Anomaly Detection by Robust Density Estimation AAAI 2022 Unsupervised Image-to-Image Translation with Density Changing Regularization NeurIPS 2022 Voronoi density estimator for high-dimensional data: Computation, compactification and convergence UAI 2022 WeaNF”:" Weak Supervision with Normalizing Flows ACL 2022 Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization AAAI 2021 A Change of Variables Method For Rectangular Matrix-Vector Products AISTATS 2021 A Statistical Perspective on Coreset Density Estimation AISTATS 2021 A Statistical Taylor Theorem and Extrapolation of Truncated Densities COLT 2021 Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm AAAI 2021 Bounds all around: training energy-based models with bidirectional bounds NeurIPS 2021 C-Learning: Learning to Achieve Goals via Recursive Classification ICLR 2021 Compressed Maximum Likelihood ICML 2021 Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization ICLR 2021 Denoising Normalizing Flow NeurIPS 2021 Densely connected normalizing flows NeurIPS 2021 Direct Measure Matching for Crowd Counting IJCAI 2021 Disambiguation of Weak Supervision leading to Exponential Convergence rates ICML 2021 Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NeurIPS 2021 Efficient Computation and Analysis of Distributional Shapley Values AISTATS 2021 Equivariant Manifold Flows NeurIPS 2021